
We tested our self-supervised depth reconstruction approach on a highly popular and publicly available benchmark fMRI dataset, called fMRI on ImageNet [1]}. We found this dataset to be the only one currently suitable for our method in terms of the stimuli used and fMRI signal quality. An important point is the requirement to perform depth estimation on color ImageNet-like natural images that match the input distribution expected by the MiDaS depth estimation network we used.
